Open source libraries versus paid APIs for extracting tables from scanned PDFs reliably
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Open source libraries versus paid APIs for extracting tables from scanned PDFs reliably
2 real searches · 1 real-search pass
open source scanned PDF table extraction libraries OCR table structure recognition PaddleOCR PP-Structure Table Transformer docTR benchmarkGoogle ↗
OBSERVED
paid document AI APIs scanned PDF table extraction AWS Textract Azure Document Intelligence Google Document AI table extraction pricing capabilitiesGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
open source scanned PDF table extraction libraries OCR table structure recognition PaddleOCR PP-Structure Table Transformer docTR benchmark Google ↗
paid document AI APIs scanned PDF table extraction AWS Textract Azure Document Intelligence Google Document AI table extraction pricing capabilities Google ↗
- PP-StructureV3: PDF to Markdown, Tables & Layout (Tested) · paddleocr.dev
- GitHub · github.com
- GitHub · github.com
- GitHub · github.com
- GitHub · github.com
- GitHub · github.com
- How Camelot compares to other tools · camelot-py.readthedocs.io
- GitHub - Konstantin-Prosvetov/table-extract-bench: Benchmark of four table-extraction tools on synthetic PDFs: pdfplumber, camelot (two modes), OCR. Honest results, documented limitations. · github.com
- Textract Pricing Page · aws.amazon.com
- Website · aws.amazon.com
- Website · azure.microsoft.com
- Pricing · azure.microsoft.com
- Pricing - Azure Document Intelligence in Foundry Tools · azure.microsoft.com
- Document AI pricing · cloud.google.com
- Website · cloud.google.com
- Website · mistral.ai
- GitHub - opendatalab/OmniDocBench: [CVPR 2025] A Comprehensive Benchmark for Document Parsing and Evaluation · github.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
open source scanned PDF table extraction libraries OCR table structure recognition PaddleOCR PP-Structure Table Transformer docTR benchmark OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
paid document AI APIs scanned PDF table extraction AWS Textract Azure Document Intelligence Google Document AI table extraction pricing capabilities OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |